Journal
SIGNAL PROCESSING-IMAGE COMMUNICATION
Volume 25, Issue 10, Pages 717-728Publisher
ELSEVIER
DOI: 10.1016/j.image.2010.10.003
Keywords
Quad-tree coding; Morphological dilation; Variable-length group test coding; Weights training
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Funding
- National Science Foundation of China [61077009, 61001100, 61001206]
- Fundamental Research Funds for The Central Universities [K50510020002]
- Seoul Future Contents Convergence (SFCC) Cluster [10570]
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This paper proposes an adaptive morphological dilation image coding with context weights prediction. The new dilation method is not to use fixed models, but to decide whether a coefficient needs to be dilated or not according to the coefficient's predicted significance degree. It includes two key dilation technologies: (1) controlling dilation process with context weights to reduce the output of insignificant coefficients and (2) using variable-length group test coding with context weights to adjust the coding order and cost as few bits as possible to present the events with large probability. Moreover, we also propose a novel context weight strategy to predict a coefficient's significance degree more accurately, which can be used for two dilation technologies. Experimental results show that our proposed method outperforms the state of the art image coding algorithms available today. (C) 2010 Elsevier B.V. All rights reserved.
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